A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics
Summary: Model-based analysis compares GPUs and CPUs for database analytics and introduces Crystal, a GPU library of parallel primitives for near-materialization SQL. Selections, projections, and sorts approach the bandwidth gain, joins lag, yet full queries exceed the ratio (~25x) on benchmarks due to CPU vectorization limits. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Anil Shanbhag (Massachusetts Institute of Technology)
- 2. Samuel Madden (Massachusetts Institute of Technology)
- 3. Xiangyao Yu (University of Wisconsin)
BibTeX Citation
@inproceedings{shanbhag_sigmod20,
title = {{A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics}},
author = {Shanbhag, Anil and Madden, Samuel and Yu, Xiangyao},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3380595},
url = {https://dl.acm.org/doi/10.1145/3318464.3380595},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 45 of 45 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,153 | Efficiently Processing Joins and Grouped Aggregations on GPUs | 2025 | SIGMOD |
| 2 | 5,400 | Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration | 2016 | SIGMOD |
| 3 | 7,190 | GPUQP: Query Co-Processing Using Graphics Processors | 2007 | SIGMOD |
| 4 | 616 | Relational Joins on Graphics Processors | 2008 | SIGMOD |
| 5 | 8,602 | A Case for Graphics-driven Query Processing | 2023 | VLDB |
| 6 | 10,733 | Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization | 2026 | VLDB |
| 7 | 1,454 | Fast Computation of Database Operations using Graphics Processors | 2004 | SIGMOD |
| 8 | 8,280 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 2025 | VLDB |
| 9 | 2,466 | Concurrent Analytical Query Processing with GPUs | 2014 | VLDB |
| 10 | 4,484 | GPU Database Systems Characterization and Optimization | 2024 | VLDB |